-Researching and developing state-of-the-art Machine Learning timeseries methods for short-term Power Demand forecasting-Developing Machine Learning and Deep learning models for context based time-series particle detection. -Developing Computer vision based aerosol distribution prediction algorithm.

Leading a team of 10 to develop models and tools for tackling complex quantitative trading problems

Commodity Investing by Students (COINS) is the only student-run commodity trading and investing club across the country, investing over $1M.

Responsible for guiding and approving case studies of students for presentations in Professionalism in Computing, CS class. Helping over 90 students to come up with professional presentations.

Building a Data analytics and Visualization tool for Elementary school children to make them understand and learn concepts efficiently and practically.

Responsible for grading and solving doubts of students in Integral and Differential calculus classes. Assisted different professors for helping over 250 students in calculus.

Worked as a Full-Stack SWE intern at Kentik, developed UI for Alerting Sites, which had severe alarms and attacks on their networks. Added API endpoints and used curl commands to test them. Used JavaScript, React, GO, SQL and curl commands during the entirety of internship.